Humanizing Architectural Automation: A Case Study in Office Layouts

Heumann, Andrew; Davis, Daniel P.

doi:10.1007/978-3-030-29829-6_51

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…This is because human involvement is fundamental in dealing with the abstract and subjective elements, which are implicitly embedded within regulatory documents (Nawari 2012;Solihin and Eastman 2016). Technology helps human activities during design in different ways (Heumann and Davis 2019), as well as using different degrees of automation (Soliman-Junior et al 2019). In practice, this indicates a need for hybrid approaches, which support design assessment through better exploration of human-technology interactions.…”

Section: Design Assessment Through Human-technology Perspectivementioning

confidence: 99%

“…Moreover, it could track decision-making by also recording where its evidence or knowledge was needed and how they influenced and modified the design, promoting continuous improvement. This type of approach demands interfaces between humans and technologies to be excelled up to their current limits, since such integration relies on maintaining designers' workflows and cognitive processes (Heumann and Davis 2019). The adoption of this strategy to object-based modelling tools, can, ultimately, provide a platform for continuous learning from potential mistakes, improving the design process by also informing designers about what could have gone wrong.…”

Section: Design Assistantmentioning

confidence: 99%

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Exploring Mistakeproofing in Healthcare Design

Soliman-Junior¹,

Tzortzopoulos²,

Kagioglou

2020

Annual Conference of the International Group for Lean Construction

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The process of verifying the compliance of design solutions to regulations is critical in healthcare design due to the complexity of the requirements present in healthcare settings. The majority of previews research concentrates on "mistake-searching", assuming that design will not be compliant and, as such, necessitates an approach focussed on finding inconsistencies, rather than avoiding mistakes during the design process. This paper reports findings of an ongoing research that follows the Design Science Research approach, with the aim of exploring how existing technologies can support incorporating mistakeproofing (poka yoke) into healthcare design, framed within the regulations compliance process. A set of technological strategies was assessed according to mistakeproofing principles. The analysis evidenced their characteristics, benefits, limitations and examples of application. These technologies rely on the use of hybrid approaches, providing assistance to designers across all design stages, which in turn supports better decision-making and contributes towards improving value generation. A theoretical framework was proposed based on the synergy between design support systems, requirements subjectivity and jidoka. It highlights the importance of better understanding and enhancing the relationship between human designers and different technologies through automation.

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Section: Design Assessment Through Human-technology Perspectivementioning

confidence: 99%

Section: Design Assistantmentioning

confidence: 99%

Exploring Mistakeproofing in Healthcare Design

Soliman-Junior¹,

Tzortzopoulos²,

Kagioglou

2020

Annual Conference of the International Group for Lean Construction

View full text Add to dashboard Cite

show abstract

“…Furthermore, this may contribute to increasing scripting literacy in architecture. Often a reluctance to participate in developing new skills relates to a fundamental issue of unfamiliarity and a lack of trust in an unknown system (Heumann & Davis 2020).…”

Section: Introductionmentioning

confidence: 99%

Keeping up with the Code - Communicating the Decision Making History of Architectural Scripts

Hamilton¹,

Butler²,

Gardner³

et al. 2020

eCAADe Proceedings

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“…Before developing the tool, one needs to observe a user's workflow, identify tasks that should be automated and propose methods for ensuring tools integrate into -rather than interrupt -existing processes. 13 In our proposed framework, an agile approach is carried out with inputs from organisational teams and automation working in tandem to achieve better outcomes. Most importantly, the spatial decision support framework is designed in collaboration with the organisational team and not in isolation.…”

Section: Introductionmentioning

confidence: 99%

“…Before developing the tool, one needs to observe a user’s workflow, identify tasks that should be automated and propose methods for ensuring tools integrate into – rather than interrupt – existing processes. 13…”

Section: Introductionmentioning

confidence: 99%

Geospatial tool-chains: Planning support systems for organisational teams

Alva

Janssen

Stouffs

2019

International Journal of Architectural Computing

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In practice, most planners do not make significant use of planning support systems. Although extensive research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this article focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams with varying skill sets and objectives, within an organisation. In the proposed framework, the core decision-making process uses a set of decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing a workflow and GIS tool-chain for a real-world case study of land suitability and mixed-use potentiality analysis.

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Humanizing Architectural Automation: A Case Study in Office Layouts

Cited by 5 publications

References 5 publications

Exploring Mistakeproofing in Healthcare Design

Exploring Mistakeproofing in Healthcare Design

Keeping up with the Code - Communicating the Decision Making History of Architectural Scripts

Geospatial tool-chains: Planning support systems for organisational teams

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